In this paper we present a method for learning a curve model for detection and segmentation by closely integrating a hierarchical curve representation using generative and discrim...
Adrian Barbu, Vassilis Athitsos, Bogdan Georgescu,...
We propose a non-iterative solution to the PnP problem--the estimation of the pose of a calibrated camera from n 3D-to-2D point correspondences--whose computational complexity gro...
Francesc Moreno-Noguer, Vincent Lepetit, Pascal Fu...
Subspace learning based face recognition methods have attracted considerable interests in recent years, including Principal Component Analysis (PCA), Linear Discriminant Analysis ...
RFID technology provides significant advantages over traditional object-tracking technology and is increasingly adopted and deployed in real applications. RFID applications genera...
Yijian Bai, Fusheng Wang, Peiya Liu, Carlo Zaniolo...
We describe our visualization process for a particle-based simulation of the formation of the first stars and their impact on cosmic history. The dataset consists of several hundre...
Paul Arthur Navrátil, Jarrett L. Johnson, Volke...